Hybrid Energy Scheduling in a Renewable Micro Grid
C. Shilaja
C. Shilaja, Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 29 November 2019 | Revised Manuscript received on 18 December 2019 | Manuscript Published on 31 December 2019 | PP: 375-380 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10841284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1084.1284S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the present days, the society has been facing a lot of challenges in the energy scenario, as their dependency increases in that crisis that is to be given greater concern. As fossil fuels are turned out to be too expensive or it may be phased out, in spite of large investments, researchers suggest the renewable energy sources as a supplement for this issue. A microgrid which connects the generation units with the electrical power network and also the utility area results in the efficient utilization. The efficiency and flexibility of the power system can be optimized by installing microgrid. It combines the sources of heat and power (CHP) with renewable energy which includes wind and photovoltaic power that implies a reliable and controllable power supply. As power storage equipment’s and electric vehicles (EV) enhances the bidirectional power flow, the optimization of scheduling is needed for the EV and demand side management (DSM).In this work, with the CHP microgrid, an optimal scheduling model of the network is proposed with EV and DSM.The minimum operation cost is considered as an objective function and the optimization variable is the output of each source. A simulation study which improves the capability global search using hybrid Artificial Immune algorithm is put forward for higher feasibility.
Keywords: Micro Grid Energy Renewable Artificial.
Scope of the Article: Microwave Photonics